About this episode
Katie Malone (@multiarmbandit) works in data science, has podcast about machine learning, and has a Phd in Physics. We mostly talked about machine learning, ways to kill people, mathematics, and impostor syndrome.
Katie is the host of the Linear Digressionspodcast (@LinDigressions). She recommended the Linear Digressions interview with Matt Mightas something Embedded listeners might enjoy. Katie and Ben also recently did a show about git.
Katie taught Udacity's Intro to Machine Learningcourse (free!). She also recommends the Andrew Ng Machine Learning Coursera course.
Neural nets can be fooled in hilarious ways: Muffins vs dogs, Labradoodles vs chicken, and more. Intentional, adversarial attacks are also possible.
Impostor syndromeis totally a thing. We've talked about it before. You might recognize the discussion methodology from Embedded #24: I'm a Total Fraud.
Katie works at Civis Analyticsand they are hiring.
Get every episode summarized
Each time Embedded publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
